Super Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Camera

dc.contributor.advisorAnbarjafari, Gholamrezaen
dc.contributor.advisorRasti, Pejmanen
dc.contributor.authorUiboupin, Tõniset
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Tehnoloogiainstituutet
dc.description.abstractDue to importance of security in the society, monitoring activities and recognizing specific people through surveillance video camera is playing an important role. One of the main issues in such activity rises from the fact that cameras do not meet the resolution requirement for many face recognition algorithms. In order to solve this issue, in this work we are proposing a new system which super resolve the image. First, we are using sparse representation with the specific dictionary involving many natural and facial images to super resolve images. As a second method, we are using deep learning convulutional network. Image super resolution is followed by Hidden Markov Model and Singular Value Decomposition based face recognition. The proposed system has been tested on many well-known face databases such as FERET, HeadPose, and Essex University databases as well as our recently introduced iCV Face Recognition database (iCV-F). The experimental results shows that the recognition rate is increasing considerably after applying the super resolution by using facial and natural image dictionary. In addition, we are also proposing a system for analysing people movement on surveillance video. People including faces are detected by using Histogram of Oriented Gradient features and Viola-jones algorithm. Multi-target tracking system with discrete-continuouos energy minimization tracking system is then used to track people. The tracking data is then in turn used to get information about visited and passed locations and face recognition results for tracked people.en
dc.publisherTartu Ülikoolet
dc.rightsCC0 1.0 Universal*
dc.subjectSuper Resolution, Deep Learning, Surveillance Videos, Face Recognition, Hidden Markov Model, Singular Value Decomposition, Human Tracking, Histogram of Oriented Gradients.en
dc.titleSuper Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Cameraen
dc.title.alternativeValvekaameratel põhineva inimseire täiustamine pildi resolutsiooni parandamise ning näotuvastuse abilet


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